--------------------------------------------------------------------------------
      name:  <unnamed>
       log:  D:\Dropbox\Work\Research\CreditCardABSRewrite\Draft\ReplicationFile
> s\Tab_6\Table_06_Log.log
  log type:  text
 opened on:   1 Jan 2022, 15:34:25

. 
. import delimited "Tab6Dat.csv"
file Tab6Dat.csv not found
r(601);

end of do-file

r(601);

. do "C:\Users\mflec\AppData\Local\Temp\STD4c7c_000000.tmp"

. clear

. cap log close
--------------------------------------------------------------------------------
      name:  <unnamed>
       log:  D:\Dropbox\Work\Research\CreditCardABSRewrite\Draft\ReplicationFile
> s\Tab_6\Table_06_Log.log
  log type:  text
 opened on:   1 Jan 2022, 15:34:58

. 
. import delimited "Data_Table_06.csv"
(encoding automatically selected: ISO-8859-1)
(10 vars, 16,848 obs)

. 
. * generate indicators for subperiods
. generate pre=1 if year<2007
(5,796 missing values generated)

. generate cri=1 if year>2006 & year<2010
(13,258 missing values generated)

. generate post=1 if year>2009 & year<2021
(14,642 missing values generated)

. 
. * Table 10
. 
. *****************
. * A Tranche
. * All
. regress portfyld riskprem_a  chargeoff_1m mpr i.year, vce(cluster year) 

Linear regression                               Number of obs     =     16,848
                                                F(2, 19)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3540
                                                Root MSE          =     .02919

                                  (Std. err. adjusted for 20 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_a |   .7049726   .3646993     1.93   0.068    -.0583518    1.468297
chargeoff_1m |   .6656731   .1352108     4.92   0.000     .3826735    .9486726
         mpr |   .1039261   .0746649     1.39   0.180    -.0523493    .2602015
             |
        year |
       2001  |  -.0049373   .0012729    -3.88   0.001    -.0076015    -.002273
       2002  |  -.0225815   .0021897   -10.31   0.000    -.0271646   -.0179985
       2003  |  -.0328785    .002449   -13.43   0.000    -.0380044   -.0277526
       2004  |  -.0309784    .002844   -10.89   0.000     -.036931   -.0250258
       2005  |     -.0156    .003435    -4.54   0.000    -.0227895   -.0084105
       2006  |   .0042982   .0047837     0.90   0.380    -.0057142    .0143106
       2007  |   .0031592   .0047222     0.67   0.512    -.0067244    .0130428
       2008  |  -.0389665    .011357    -3.43   0.003    -.0627369    -.015196
       2009  |  -.0485332   .0130957    -3.71   0.001    -.0759429   -.0211235
       2010  |    .001207   .0077512     0.16   0.878    -.0150165    .0174305
       2011  |  -.0024676   .0068287    -0.36   0.722    -.0167604    .0118251
       2012  |   .0114432    .009146     1.25   0.226    -.0076995    .0305859
       2013  |   .0304621   .0108541     2.81   0.011     .0077443    .0531799
       2014  |   .0289292   .0116501     2.48   0.023     .0045453     .053313
       2015  |   .0297008   .0116548     2.55   0.020      .005307    .0540946
       2017  |    .069981   .0099827     7.01   0.000      .049087     .090875
       2018  |   .0557958   .0120481     4.63   0.000     .0305789    .0810127
       2019  |   .0726738   .0115245     6.31   0.000     .0485527    .0967949
       2020  |    .131983   .0065634    20.11   0.000     .1182456    .1457204
             |
       _cons |   .1473627   .0133089    11.07   0.000     .1195068    .1752185
------------------------------------------------------------------------------

. outreg2 using Tab10_A, stats(coef tstat) noaster adjr2 nocons label title("A T
> ranche") ctitle("All") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfmt(f) r
> dec(3) rfmt(f) word slow(100) replace
Tab10_A.rtf
dir : seeout

. 
. * 2000-2006
. regress portfyld riskprem_a  chargeoff_1m mpr i.year if pre==1, vce(cluster ye
> ar)

Linear regression                               Number of obs     =     11,052
                                                F(2, 6)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2725
                                                Root MSE          =     .02505

                                   (Std. err. adjusted for 7 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_a |   1.357494   .2763642     4.91   0.003     .6812549    2.033733
chargeoff_1m |   .4964623   .1573254     3.16   0.020      .111501    .8814236
         mpr |    .197816   .0317754     6.23   0.001     .1200644    .2755676
             |
        year |
       2001  |  -.0061264   .0013883    -4.41   0.005    -.0095234   -.0027295
       2002  |  -.0260752   .0021585   -12.08   0.000    -.0313567   -.0207936
       2003  |  -.0355765   .0024319   -14.63   0.000     -.041527    -.029626
       2004  |   -.035757   .0023159   -15.44   0.000    -.0414237   -.0300903
       2005  |  -.0203771   .0019213   -10.61   0.000    -.0250783   -.0156759
       2006  |   -.006857   .0027094    -2.53   0.045    -.0134867   -.0002273
             |
       _cons |   .1431407   .0103635    13.81   0.000     .1177821    .1684993
------------------------------------------------------------------------------

. outreg2 using Tab10_A, stats(coef tstat) noaster adjr2 nocons label title("A T
> ranche") ctitle("2000-2006") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100) word 
Tab10_A.rtf
dir : seeout

. 
. * 2007-2009
. regress portfyld riskprem_a  chargeoff_1m mpr i.year if cri==1, vce(cluster ye
> ar)

Linear regression                               Number of obs     =      3,590
                                                F(1, 2)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1886
                                                Root MSE          =     .02897

                                   (Std. err. adjusted for 3 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_a |   .0184668   .1487948     0.12   0.913    -.6217457    .6586793
chargeoff_1m |   .8181723   .1963169     4.17   0.053    -.0265113    1.662856
         mpr |   .3960113   .0809752     4.89   0.039      .047603    .7444197
             |
        year |
       2008  |   -.025895   .0060686    -4.27   0.051    -.0520059    .0002159
       2009  |   -.040253    .012305    -3.27   0.082    -.0931973    .0126913
             |
       _cons |   .0884785    .024135     3.67   0.067     -.015366     .192323
------------------------------------------------------------------------------

. outreg2 using Tab10_A, stats(coef tstat) noaster adjr2 nocons label title("A T
> ranche") ctitle("2007-2009") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100)  word
Tab10_A.rtf
dir : seeout

. 
. * 2010-2020
. regress portfyld riskprem_a  chargeoff_1m mpr i.year if post==1, vce(cluster y
> ear)

Linear regression                               Number of obs     =      2,206
                                                F(2, 9)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5158
                                                Root MSE          =     .03385

                                  (Std. err. adjusted for 10 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_a |   6.524088   1.597323     4.08   0.003     2.910692    10.13748
chargeoff_1m |   .4619998   .2104014     2.20   0.056    -.0139611    .9379608
         mpr |  -.0850493   .1450121    -0.59   0.572    -.4130895    .2429908
             |
        year |
       2011  |  -.0013812   .0068622    -0.20   0.845    -.0169046    .0141421
       2012  |   .0207136   .0116765     1.77   0.110    -.0057005    .0471277
       2013  |   .0387569   .0121837     3.18   0.011     .0111955    .0663184
       2014  |   .0388973   .0127099     3.06   0.014     .0101456     .067649
       2015  |    .032793   .0119742     2.74   0.023     .0057055    .0598805
       2017  |   .0773618   .0110599     6.99   0.000     .0523426    .1023809
       2018  |   .0672833   .0132665     5.07   0.001     .0372724    .0972943
       2019  |   .0878674   .0127722     6.88   0.000     .0589748    .1167601
       2020  |   .1295939   .0061494    21.07   0.000     .1156829    .1435049
             |
       _cons |   .1760238   .0432048     4.07   0.003     .0782878    .2737599
------------------------------------------------------------------------------

. outreg2 using Tab10_A, stats(coef tstat) noaster adjr2 nocons label title("A T
> ranche") ctitle("2010-2020") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100)  word
Tab10_A.rtf
dir : seeout

. 
. 
. *******************
. * B Tranche
. * All
. regress portfyld riskprem_b chargeoff_1m mpr i.year, vce(cluster year)

Linear regression                               Number of obs     =     16,848
                                                F(2, 19)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3279
                                                Root MSE          =     .02977

                                  (Std. err. adjusted for 20 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_b |   .1292382   .1634328     0.79   0.439    -.2128307    .4713071
chargeoff_1m |   .6405561   .1167693     5.49   0.000     .3961552    .8849571
         mpr |   .0938197   .0725618     1.29   0.212    -.0580539    .2456933
             |
        year |
       2001  |  -.0036118   .0007576    -4.77   0.000    -.0051974   -.0020262
       2002  |  -.0200502   .0013532   -14.82   0.000    -.0228824    -.017218
       2003  |  -.0309449   .0017491   -17.69   0.000    -.0346058    -.027284
       2004  |  -.0286658    .002248   -12.75   0.000     -.033371   -.0239607
       2005  |  -.0143786   .0031964    -4.50   0.000    -.0210686   -.0076885
       2006  |   .0066468   .0047878     1.39   0.181    -.0033741    .0166678
       2007  |   .0067895   .0044465     1.53   0.143    -.0025172    .0160962
       2008  |  -.0253069   .0093772    -2.70   0.014    -.0449336   -.0056801
       2009  |   -.039787   .0145445    -2.74   0.013     -.070229   -.0093451
       2010  |   .0054443   .0058084     0.94   0.360    -.0067129    .0176014
       2011  |   .0005624   .0062528     0.09   0.929    -.0125248    .0136496
       2012  |   .0133202   .0090176     1.48   0.156    -.0055537    .0321942
       2013  |   .0334866   .0107059     3.13   0.006      .011079    .0558942
       2014  |   .0324801   .0114892     2.83   0.011      .008433    .0565272
       2015  |    .033794   .0115525     2.93   0.009     .0096144    .0579736
       2017  |   .0734115   .0098149     7.48   0.000     .0528688    .0939543
       2018  |   .0594463   .0119014     4.99   0.000     .0345363    .0843562
       2019  |   .0761833    .011235     6.78   0.000     .0526681    .0996985
       2020  |   .1358043   .0048277    28.13   0.000     .1256998    .1459088
             |
       _cons |   .1494851   .0119021    12.56   0.000     .1245736    .1743966
------------------------------------------------------------------------------

. outreg2 using Tab10_B, stats(coef tstat) noaster adjr2 nocons label title("B T
> ranche") ctitle("All") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfmt(f) r
> dec(3) rfmt(f) word slow(100)  replace
Tab10_B.rtf
dir : seeout

. 
. * 2000-2006
. regress portfyld riskprem_b chargeoff_1m mpr i.year if pre==1, vce(cluster yea
> r)

Linear regression                               Number of obs     =     11,052
                                                F(2, 6)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2912
                                                Root MSE          =     .02472

                                   (Std. err. adjusted for 7 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_b |   1.091419   .1590114     6.86   0.000     .7023325    1.480506
chargeoff_1m |   .5304803   .1546246     3.43   0.014     .1521275    .9088331
         mpr |   .1953329    .030676     6.37   0.001     .1202714    .2703945
             |
        year |
       2001  |  -.0067557    .001269    -5.32   0.002    -.0098608   -.0036506
       2002  |   -.027582   .0019799   -13.93   0.000    -.0324268   -.0227373
       2003  |  -.0372913   .0023641   -15.77   0.000    -.0430761   -.0315066
       2004  |  -.0370279   .0021619   -17.13   0.000     -.042318   -.0317379
       2005  |  -.0207303   .0018279   -11.34   0.000    -.0252031   -.0162576
       2006  |  -.0065304    .002562    -2.55   0.044    -.0127993   -.0002615
             |
       _cons |   .1421356   .0102814    13.82   0.000     .1169779    .1672934
------------------------------------------------------------------------------

. outreg2 using Tab10_B, stats(coef tstat) noaster adjr2 nocons label title("B T
> ranche") ctitle("2000-2006") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100)  word
Tab10_B.rtf
dir : seeout

. 
. * 2007-2009
. regress portfyld riskprem_b chargeoff_1m mpr i.year if cri==1, vce(cluster yea
> r)

Linear regression                               Number of obs     =      3,590
                                                F(1, 2)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1935
                                                Root MSE          =     .02888

                                   (Std. err. adjusted for 3 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_b |  -.0559375   .0359455    -1.56   0.260    -.2105986    .0987235
chargeoff_1m |   .7865216   .1772092     4.44   0.047      .024052    1.548991
         mpr |   .3787288   .0650891     5.82   0.028     .0986729    .6587847
             |
        year |
       2008  |  -.0222917   .0041904    -5.32   0.034    -.0403217   -.0042617
       2009  |  -.0339773   .0111429    -3.05   0.093    -.0819211    .0139666
             |
       _cons |   .0937715   .0192816     4.86   0.040     .0108094    .1767337
------------------------------------------------------------------------------

. outreg2 using Tab10_B, stats(coef tstat) noaster adjr2 nocons label title("B T
> ranche") ctitle("2007-2009") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100)  word
Tab10_B.rtf
dir : seeout

. 
. * 2010-2020
. regress portfyld riskprem_b chargeoff_1m mpr i.year if post==1, vce(cluster ye
> ar)

Linear regression                               Number of obs     =      2,206
                                                F(2, 9)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4686
                                                Root MSE          =     .03546

                                  (Std. err. adjusted for 10 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_b |   1.632276   .2248077     7.26   0.000     1.123726    2.140827
chargeoff_1m |   .3773502   .1580896     2.39   0.041     .0197266    .7349737
         mpr |  -.1938107   .1381402    -1.40   0.194    -.5063055     .118684
             |
        year |
       2011  |  -.0068189   .0052635    -1.30   0.227    -.0187258    .0050881
       2012  |   .0074979   .0092596     0.81   0.439    -.0134488    .0284446
       2013  |   .0384867   .0112714     3.41   0.008      .012989    .0639844
       2014  |   .0445502   .0123838     3.60   0.006     .0165361    .0725642
       2015  |    .043923    .012458     3.53   0.006      .015741    .0721049
       2017  |   .0813006   .0099712     8.15   0.000     .0587442     .103857
       2018  |   .0744122   .0130154     5.72   0.000     .0449694     .103855
       2019  |   .0924379   .0120916     7.64   0.000     .0650849    .1197909
       2020  |   .1266639   .0062644    20.22   0.000     .1124929     .140835
             |
       _cons |   .2200961   .0349273     6.30   0.000     .1410851     .299107
------------------------------------------------------------------------------

. outreg2 using Tab10_B, stats(coef tstat) noaster adjr2 nocons label title("B T
> ranche") ctitle("2010-2020") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100)  word
Tab10_B.rtf
dir : seeout

. 
. 
. *******************
. * C Tranche
. * All
. regress portfyld riskprem_c chargeoff_1m mpr i.year, vce(cluster year)

Linear regression                               Number of obs     =     16,848
                                                F(2, 19)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3308
                                                Root MSE          =     .02971

                                  (Std. err. adjusted for 20 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_c |   .1056901   .1204291     0.88   0.391     -.146371    .3577512
chargeoff_1m |   .6450092   .1193642     5.40   0.000     .3951772    .8948412
         mpr |   .0946936   .0729749     1.30   0.210    -.0580446    .2474318
             |
        year |
       2001  |    -.00375   .0008128    -4.61   0.000    -.0054512   -.0020487
       2002  |  -.0203625   .0014923   -13.64   0.000    -.0234859    -.017239
       2003  |  -.0312609   .0018356   -17.03   0.000    -.0351028   -.0274191
       2004  |  -.0288633   .0022757   -12.68   0.000    -.0336265   -.0241001
       2005  |  -.0143278   .0032514    -4.41   0.000    -.0211331   -.0075225
       2006  |    .006641   .0047682     1.39   0.180    -.0033389    .0166208
       2007  |    .006642   .0044216     1.50   0.149    -.0026125    .0158965
       2008  |  -.0266276   .0097855    -2.72   0.014    -.0471089   -.0061463
       2009  |  -.0428166   .0162389    -2.64   0.016     -.076805   -.0088282
       2010  |   .0045563   .0060496     0.75   0.461    -.0081057    .0172183
       2011  |  -7.44e-06   .0062893    -0.00   0.999     -.013171    .0131561
       2012  |    .012591   .0090073     1.40   0.178    -.0062614    .0314434
       2013  |    .032955    .010652     3.09   0.006     .0106601    .0552499
       2014  |   .0319824   .0114276     2.80   0.011     .0080641    .0559007
       2015  |   .0332662   .0114821     2.90   0.009     .0092339    .0572985
       2017  |   .0726449   .0097394     7.46   0.000     .0522601    .0930298
       2018  |   .0587013   .0118059     4.97   0.000     .0339913    .0834113
       2019  |   .0754354   .0111552     6.76   0.000     .0520873    .0987835
       2020  |   .1348738   .0051033    26.43   0.000     .1241925     .145555
             |
       _cons |   .1491138   .0121556    12.27   0.000     .1236718    .1745557
------------------------------------------------------------------------------

. outreg2 using Tab10_C, stats(coef tstat) noaster adjr2 nocons label title("C T
> ranche") ctitle("All") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfmt(f) r
> dec(3) rfmt(f) word slow(100) replace
Tab10_C.rtf
dir : seeout

. 
. * 2000-2006
. regress portfyld riskprem_c chargeoff_1m mpr i.year if pre==1, vce(cluster yea
> r)

Linear regression                               Number of obs     =     11,052
                                                F(2, 6)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3157
                                                Root MSE          =      .0243

                                   (Std. err. adjusted for 7 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_c |   .7538914   .1108737     6.80   0.000     .4825932     1.02519
chargeoff_1m |   .5369473   .1585047     3.39   0.015     .1491001    .9247944
         mpr |   .1909136   .0312024     6.12   0.001     .1145642    .2672631
             |
        year |
       2001  |  -.0070137    .001348    -5.20   0.002    -.0103122   -.0037152
       2002  |  -.0283777   .0021685   -13.09   0.000    -.0336838   -.0230715
       2003  |  -.0382209   .0026015   -14.69   0.000    -.0445867   -.0318552
       2004  |  -.0370186   .0022741   -16.28   0.000    -.0425833    -.031454
       2005  |  -.0194766   .0017698   -11.00   0.000    -.0238073    -.015146
       2006  |  -.0054455   .0023988    -2.27   0.064    -.0113153    .0004242
             |
       _cons |   .1420169   .0109556    12.96   0.000     .1152095    .1688243
------------------------------------------------------------------------------

. outreg2 using Tab10_C, stats(coef tstat) noaster  adjr2 nocons label title("C 
> Tranche") ctitle("2000-2006") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tf
> mt(f) rdec(3) rfmt(f) slow(100) word
Tab10_C.rtf
dir : seeout

. 
. * 2007-2009
. regress portfyld riskprem_c chargeoff_1m mpr i.year if cri==1, vce(cluster yea
> r)

Linear regression                               Number of obs     =      3,590
                                                F(1, 2)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1934
                                                Root MSE          =     .02888

                                   (Std. err. adjusted for 3 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_c |  -.0371286   .0296834    -1.25   0.337    -.1648461    .0905888
chargeoff_1m |   .7896504    .177006     4.46   0.047     .0280549    1.551246
         mpr |   .3810554   .0633499     6.02   0.027      .108483    .6536279
             |
        year |
       2008  |   -.022463   .0044666    -5.03   0.037    -.0416814   -.0032446
       2009  |   -.034019   .0117333    -2.90   0.101    -.0845036    .0164655
             |
       _cons |   .0931517   .0188658     4.94   0.039     .0119786    .1743248
------------------------------------------------------------------------------

. outreg2 using Tab10_C, stats(coef tstat) noaster adjr2 nocons label title("C T
> ranche") ctitle("2007-2009") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tfm
> t(f) rdec(3) rfmt(f) slow(100) word
Tab10_C.rtf
dir : seeout

. 
. * 2010-2020
. regress portfyld riskprem_c chargeoff_1m mpr i.year if post==1, vce(cluster ye
> ar)

Linear regression                               Number of obs     =      2,206
                                                F(2, 9)           =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4751
                                                Root MSE          =     .03524

                                  (Std. err. adjusted for 10 clusters in year)
------------------------------------------------------------------------------
             |               Robust
    portfyld | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  riskprem_c |   1.061231   .1804948     5.88   0.000      .652923    1.469538
chargeoff_1m |   .3931011   .1542136     2.55   0.031     .0442458    .7419564
         mpr |  -.1860955   .1394599    -1.33   0.215    -.5015757    .1293847
             |
        year |
       2011  |  -.0047464   .0048477    -0.98   0.353    -.0157126    .0062198
       2012  |   .0078807    .008814     0.89   0.395     -.012058    .0278194
       2013  |   .0396386   .0106701     3.71   0.005     .0155011     .063776
       2014  |   .0452976   .0117741     3.85   0.004     .0186626    .0719326
       2015  |   .0443474    .011797     3.76   0.004     .0176608     .071034
       2017  |   .0791891   .0093571     8.46   0.000     .0580219    .1003564
       2018  |   .0723531   .0123719     5.85   0.000     .0443658    .1003403
       2019  |   .0904882   .0115277     7.85   0.000     .0644107    .1165656
       2020  |   .1243132    .006507    19.10   0.000     .1095934     .139033
             |
       _cons |   .2142494   .0354029     6.05   0.000     .1341624    .2943364
------------------------------------------------------------------------------

. outreg2 using Tab10_C, stats(coef tstat) noaster  adjr2 nocons label title("C 
> Tranche") ctitle("2010-2020") drop(i.year portfyld) bdec(4) bfmt(f) tdec(2) tf
> mt(f) rdec(3) rfmt(f) slow(100) word
Tab10_C.rtf
dir : seeout

. 
. log close
      name:  <unnamed>
       log:  D:\Dropbox\Work\Research\CreditCardABSRewrite\Draft\ReplicationFile
> s\Tab_6\Table_06_Log.log
  log type:  text
 closed on:   1 Jan 2022, 15:35:08
--------------------------------------------------------------------------------
